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Studies on the variations of hospital use and the changes in hospital revenues of 10 KDRGs under the PPS (일개 대학병원의 환자군별 진료서비스 변이와 포괄수가제 적용에 따른 진료수익 변화)

  • 전기홍;송미숙
    • Health Policy and Management
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    • v.7 no.1
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    • pp.100-124
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    • 1997
  • In order to suggest the strategies for participation in the PPS(Prospective Payment System), analyses were performed based on variations in utilization pattern and changes in revenues of hospitals in 10 selected KDRGs. The data was collected from the claims data of a tertiary hospital in Kyunggido from September 1, 1995 to August 31, 1996. The studies consisted of 1, 718 inpatients diagnosed for lens procedures, tonsilectomy &/or adenoidectomy, appendectomy with complicated principal diagnosis, Cesarean section, or vaginal delivery without any complications. The resources used in each KDRG were measured including average length of stay, total charges, number of orders, intensity of medical services, frequencies of medical services, the rate of non-reimbursable charges, and the rate of non-reimbursable orders. Then, the changes in hopital revenues due to the composition of medical fee schedules under the PPS were estimated as follows: 1) The variations in average lenght of stay, total charges, number of orders, the intensity of medical services, the frequency of medical services, the rate of non-reimbursable charges, and the rate of non-reimbursable orders among the 10 KDRGs were comparatively small. 2) The average lenght of stay was the longest(6.0 days) for appendectomy with complicated principal diagnosis, while it was the shortest(2.1 days) for two vaginal deliveries. Statistically differences existed in the average length of stay among physicians and among the dates of admission in several KDRGs. 3) The total charges were the highest for lens procedures(1, 716, 000 won), while the lowest charges were for two vaginal deliveries(558, 000 won). Statistically differences in the total charges were found among physicians in several KDRGs: however, there were no differences with the dates of admission. 4) The number of orders was the greatest(155) for appendectomy with complicated principal diagnosis, while it was the smallest(75) for the two vaginal deliveries. Statistical differences in the number of orders did not exist among physicians in the KDRGs. 5) Significant differences were found in the intensity of medical services, and in the frequency of medical services among physicians in the KDRGs. 6) The rate of non-reimbursable charges for each KDRG was not related to the rate of non-reimbursable orders. The rate of non-reimbursable orders was the highest(36.0%) for lens procedures, while the lowest rate(11.6%) was for appendectomy with complicated principal diagnosis. The rate of non-reimbursable charges was the highest(39.4-39.7%) for vaginal deliveries, while the lowest rate(13.1%) was for tonsillectomy &/or adenoidectomy(<17 ages). 7) If the physician's practicing style were not change under the PPS, the hospital revenuses could be increased by 10%, and the portion of patient payment could be decreased by 1.4-22.4%. However, the non-reimbursable charges for showed little change between two reimbursement systems. Based upon the above findings, this hospital could be eligible for participation in the PPS(Prospective Payment Systm). However, the process of diagnosis and treatment should be standardized, inentifying methods to reduce cost and to assure quality of medical care. Furthermore, consideration should be given to finding ways to increase patient volume.

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A Study on Reduction of Fuel Consumption by Displaying Fuel Injection Data for Drivers (연료분사정보 표시장치를 통한 자동차 연비향상 효과에 대한 실험적 연구)

  • Ko, Kwang-Ho
    • Transactions of the Korean Society of Automotive Engineers
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    • v.18 no.4
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    • pp.115-120
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    • 2010
  • The reduction rate of fuel consumption by showing the fuel injection data for driver was measured in this study. The fuel injection data are composed of injection period, real time fuel economy and average fuel economy. The fuel consumption was measured by processing the voltage signal of injector and driven distance by GPS sensor. The fuel consumption was reduced by driving more carefully, i.e driving more steady without sudden acceleration and deceleration watching these fuel injection data. The reduction rate was up to 37% and the rate increased as the driver is customed to this driving pattern.

On Multipurpose Replacement Policies for the General Failure Model

  • Cha, Ji-Hwan
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.2
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    • pp.393-403
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    • 2003
  • In this paper, various replacement policies for the general failure model are considered. There are two types of failure in the general failure model. One is Type I failure (minor failure) which can be removed by a minimal repair and the other is Type II failure (catastrophic failure) which can be removed only by a complete repair. In this model, when the unit fails at its age t, Type I failure occurs with probability 1-p(t) and Type II failure occurs with probability p(t), $0{\leq}p(t){\leq}1$. Under the model, optimal replacement policies for the long-run average cost rate and the limiting efficiency are considered. Also taking the cost and the efficiency into consideration at the same time, the properties of the optimal policies under the Cost-Priority-Criterion and the Efficiency-Priority-Criterion are obtained.

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A Study on the Computation Method of Simple Heat Release Rate in Internal Combustion Engine (내열기관에 있어서 열발생율(熱發生率)의 산출방법(算出方法)에 관한 연구)

  • Tak, Y.J.;Ha, J.Y.
    • Transactions of the Korean Society of Automotive Engineers
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    • v.3 no.1
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    • pp.129-135
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    • 1995
  • This study aims to compare the heat release calculated using the ensemble average of pressure data with the heat release calculated using the least squares method for pressure data. This paper propose a heat release computation method that can analyze the most correct, straight and simple method to analyse combustion phenomenon. In conclusion, we found that the least squares method of third-order was the best computational method for heat release calculation.

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Comparative Performance Study of WDM Packet Switch for Different Traffic Arrival Approach

  • Reza, Ahmed Galib;Lim, Hyo-Taek
    • Journal of information and communication convergence engineering
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    • v.9 no.5
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    • pp.551-555
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    • 2011
  • Optical packet switching is a promising technology, which can integrate both data and optical network. In this paper, we present a comparative study of various traffic arrival approaches in WDM packet switches. The comparison is made based on packet loss rate and average delay under uniform and self-similar Pareto traffic. Computer simulations are performed in order to obtain the switch performance metrics. Study shows that burstiness of data traffic has a strong negative impact in the performance of WDM packet switches.

Application of SWAT Model on Rivers in Jeju Island (제주도 하천에 대한 SWAT 모형의 적응)

  • Jung, Woo-Yul;Yang, Sung-Kee
    • Journal of Environmental Science International
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    • v.17 no.9
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    • pp.1039-1052
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    • 2008
  • The SWAT model developed by the USDA-Agricultural Research service for the prediction of rainfall run-off, sediment, and chemical yields in a basin was applied to Jeju Island watershed to estimate the amount of runoff. The research outcomes revealed that the estimated amount of runoff for the long term on 2 water-sheds showed fairly good performance by the long-term daily runoff simulation. The watershed of Chunmi river located the eastern region in Jeju Island, after calibrations of direct runoff data of 2 surveys, showed the similar values to the existing watershed average runoff rate as 22% of average direct runoff rate for the applied period. The watershed of Oaedo river located the northern region showed $R^2$ of 0.93, RMSE of 14.92 and ME of 0.70 as the result of calibrations by runoff data in the occurrence of 7 rainfalls.

The Study on Nonlinear Compensation Characteristics of Multi-tap Update Algorithm in Broadband PCS Channel

  • Lee, Seung-Dae
    • Journal of the Korea Computer Industry Society
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    • v.9 no.2
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    • pp.77-82
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    • 2008
  • The diversity reception and the equal gain combining technique are applied to the compensation of the distortion of channel, which occurs in transmission of data at rapid speed. DSSS BPSK system which has the receiving structure with the compensation algorithm is formed on the diversity branch, and the characteristics of the system are evaluated at the view point of the average bit error rate due to the SNR. In addition, the multi-tap update algorithm which is superior for the data compensation is suggested. Moreover, using the American Joint Technical Committee PCS RF channel characterization and system deployment model standard, the suggested multi-tap update algorithm is compared and analyzed with the view-point of the average bit error rate and convergence speed for evaluating the realistic efficiency of the system.

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Routing Protocol Supporting QoS in Mobile Ad-hoc Network (이동 애드 혹 네트워크에서 QoS를 지원하는 라우팅 프로토콜)

  • Kang, Kyung-In;Park, Kyung-Bae
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.2 s.46
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    • pp.189-196
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    • 2007
  • In this paper, we proposed a mobile ad hoc routing protocol based on AODV(Ad hoc On demand Distance Vector) with QoS(Quality of Service) support and evaluated the performance through simulation. The waste of communication resources is reduced by establishing the shortest route suitable to QoS support, considering in advance the usable communication resources at each node. For performance evaluation, we analyzed the average data reception rate, considering the node mobility and the number of best effort/QoS data flows. We found that in the mobile Ad Hoc networks the QoS service for some specific data flows increased the average data reception rate for the QoS data flows.

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Sharia Banking Stability Against Macroeconomic Shocks: A Comparative Analysis in the ASEAN Region

  • ZAHRA, Siti Fatimah;MURDAYANTI, Yunika;AMAL, Muhammad Ihlashul
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.151-159
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    • 2021
  • This study aims to compare the level of stability of the Islamic banking system in the ASEAN region, particularly in Indonesia, Malaysia and Brunei Darussalam in the face of macroeconomic turmoil. The data used in this study is secondary data obtained from the official website of the government and banks of each country, with sampling using purposive sampling technique during the period 2013 to 2019. The data analysis method used is panel data using Eviews software. The results showed that the average Z-score value of Islamic banking during the study period in each country was Indonesia (15.61), Malaysia (15.56) and Brunei Darussalam (19.10). The GDP (X1) has a positive effect on the stability of Islamic banking by 54.29%, inflation (X2) has a negative effect of -12.24% on the stability of Islamic banking, and the exchange rate (X3) has a positive effect on the stability of Islamic banking by 42.58%. The findings of this study indicate that the three countries have an average Z-score value that is higher than 2.99, so this shows that Islamic banking in several ASEAN countries is in a stable condition. In addition, a higher GDP and a stronger exchange rate can also encourage a more stable Islamic banking.

Deep Learning Model for Electric Power Demand Prediction Using Special Day Separation and Prediction Elements Extention (특수일 분리와 예측요소 확장을 이용한 전력수요 예측 딥 러닝 모델)

  • Park, Jun-Ho;Shin, Dong-Ha;Kim, Chang-Bok
    • Journal of Advanced Navigation Technology
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    • v.21 no.4
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    • pp.365-370
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    • 2017
  • This study analyze correlation between weekdays data and special days data of different power demand patterns, and builds a separate data set, and suggests ways to reduce power demand prediction error by using deep learning network suitable for each data set. In addition, we propose a method to improve the prediction rate by adding the environmental elements and the separating element to the meteorological element, which is a basic power demand prediction elements. The entire data predicted power demand using LSTM which is suitable for learning time series data, and the special day data predicted power demand using DNN. The experiment result show that the prediction rate is improved by adding prediction elements other than meteorological elements. The average RMSE of the entire dataset was 0.2597 for LSTM and 0.5474 for DNN, indicating that the LSTM showed a good prediction rate. The average RMSE of the special day data set was 0.2201 for DNN, indicating that the DNN had better prediction than LSTM. The MAPE of the LSTM of the whole data set was 2.74% and the MAPE of the special day was 3.07 %.